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issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning
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analysis algorithms using Python and databases. 3) Prototyping and experimental testing: implementation of prototypes of electronic light sensor devices and conducting experimental tests of the indoor
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scheduling systems. Basic programming skills in Python are required, as well as experience working with biological or biomedical datasets. The successful applicant should demonstrate the ability to work both
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candidate will be to use a combination of CUDA, Python and C++ programming to develop CADD tools which will curate the human proteome, upgrade the group’s MoPBS software, develop new GPU enabled pharmacophore
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equipment (copy machine, fax machine, multi-line phone). Applications are being accepted on line at https://unmc.peopleadmin.com/postings/97497 Inquiries: David Warren, PhD at david.warren@unmc.edu Required
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information, visit our lab website: http://nollmannlab.org/ Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5048-LIDSCO-001/Default.aspx Requirements Research FieldChemistryEducation LevelPhD
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accordance with regulations, your appointment must therefore be authorized by the relevant authority of the Ministry of Higher Education and Research (MESR). Where to apply Website https://emploi.cnrs.fr
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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The successful candidate will drive research at the intersection of Condensed Matter Theory, Quantum Computing and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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a relevant field and have strong quantitative and analytical skills, including experience in food systems modelling or closely related areas. Proficiency in data analysis and coding (e.g. Python, R